The document discusses the transition to smart manufacturing, also called Industry 4.0, in the UK. It notes that the UK lags behind countries like Germany in adoption of industrial robots. Embracing smart manufacturing technologies could boost UK competitiveness and productivity. However, there is a skills gap as many UK companies lack experience with robotics that prevents greater adoption. Bridging this skills gap through training programs and making robots easier to use are seen as key to driving increased adoption of smart manufacturing in the UK.
Leverage IoT to Setup Smart Manufacturing SolutionsSoftweb Solutions
The Internet of Things (IoT) is now to involve in manufacturing unit to deliver and enhance the productivity of companies through smart factory concept. It gives full business insights of manufacturing process and deliver data on their devices. View more at - http://www.softwebsolutions.com/iot-manufacturing-solutions.html
The Impact of Internet of Things (IoT) in Manufacturing TodaySuyati Technologies
Considered as the most significant technology initiative of the decade - IoT is predicted to add $10-$15 trillion to the global GDP in the next two decades. Companies like Siemens and Cisco have already embraced IoT in their manufacturing plants. The infographic here talks about the advantages of having IoT in the manufacturing industry. Find out more
Reach us at:services@suyati.com
Intelligent Manufacturing is a Smart Choice to gain on competitiveness and sustainability. Innovation technologies to boost productivity and visibility of manufacturing opearations.
How to answer the challenges of industrial IoT?Dieter Laevers
If you want to talk to the author Dieter Laevers, take your chance and meet him at Smart Industries in Paris, December 6-9.
Inquire for a personal meeting / demo here: www.event.movilitas.com
The document discusses Industry 4.0 and smart manufacturing. Key points include: Industry 4.0 aims to improve customization, automation, and worker support through technologies like embedded systems, the Internet of Things, and the Internet of Services. It principles include interoperability, virtualization, decentralization, real-time capability, service orientation, and modularity. Industry 4.0 impacts areas like machine safety, value chains, workers, socioeconomics, and demonstrations. Transformation requires strategies like digital systems, social interactions, information availability, and eliminating hierarchies. Realizing Industry 4.0's vision requires integrating its technology, intelligence, collaboration, and process components.
Managing shopfloor energy consumption in a smart factoryJulian Krenge
Introduction to the Aachen trial site of the EU-funded FINESCE project focusing on the demand side management in a smart factory, with a bit more detail on the use of FIWARE and Generic Enablers (GEs).
Intelligent Manufacturing system Final 1Harish Pant
1. The document discusses intelligent manufacturing systems and Industry 4.0, describing how increased connectivity through technologies like the Internet of Things, cyber-physical systems, and sensors is allowing for more customized, flexible production and new areas of innovation.
2. Key aspects of Industry 4.0 include deep learning, quantum computing, advanced artificial intelligence, new IOT platforms, cloud-based analytics services, and partner ecosystems to deliver IOT solutions.
3. Examples are given of new technologies like autonomous robotic systems from companies like Festo and ABB, as well as smart factory approaches from German research initiatives and automakers like Volkswagen integrating digital technologies into new products and customized, digitally-driven production.
Leverage IoT to Setup Smart Manufacturing SolutionsSoftweb Solutions
The Internet of Things (IoT) is now to involve in manufacturing unit to deliver and enhance the productivity of companies through smart factory concept. It gives full business insights of manufacturing process and deliver data on their devices. View more at - http://www.softwebsolutions.com/iot-manufacturing-solutions.html
The Impact of Internet of Things (IoT) in Manufacturing TodaySuyati Technologies
Considered as the most significant technology initiative of the decade - IoT is predicted to add $10-$15 trillion to the global GDP in the next two decades. Companies like Siemens and Cisco have already embraced IoT in their manufacturing plants. The infographic here talks about the advantages of having IoT in the manufacturing industry. Find out more
Reach us at:services@suyati.com
Intelligent Manufacturing is a Smart Choice to gain on competitiveness and sustainability. Innovation technologies to boost productivity and visibility of manufacturing opearations.
How to answer the challenges of industrial IoT?Dieter Laevers
If you want to talk to the author Dieter Laevers, take your chance and meet him at Smart Industries in Paris, December 6-9.
Inquire for a personal meeting / demo here: www.event.movilitas.com
The document discusses Industry 4.0 and smart manufacturing. Key points include: Industry 4.0 aims to improve customization, automation, and worker support through technologies like embedded systems, the Internet of Things, and the Internet of Services. It principles include interoperability, virtualization, decentralization, real-time capability, service orientation, and modularity. Industry 4.0 impacts areas like machine safety, value chains, workers, socioeconomics, and demonstrations. Transformation requires strategies like digital systems, social interactions, information availability, and eliminating hierarchies. Realizing Industry 4.0's vision requires integrating its technology, intelligence, collaboration, and process components.
Managing shopfloor energy consumption in a smart factoryJulian Krenge
Introduction to the Aachen trial site of the EU-funded FINESCE project focusing on the demand side management in a smart factory, with a bit more detail on the use of FIWARE and Generic Enablers (GEs).
Intelligent Manufacturing system Final 1Harish Pant
1. The document discusses intelligent manufacturing systems and Industry 4.0, describing how increased connectivity through technologies like the Internet of Things, cyber-physical systems, and sensors is allowing for more customized, flexible production and new areas of innovation.
2. Key aspects of Industry 4.0 include deep learning, quantum computing, advanced artificial intelligence, new IOT platforms, cloud-based analytics services, and partner ecosystems to deliver IOT solutions.
3. Examples are given of new technologies like autonomous robotic systems from companies like Festo and ABB, as well as smart factory approaches from German research initiatives and automakers like Volkswagen integrating digital technologies into new products and customized, digitally-driven production.
A look at how cognitive computing is driving new productivity and gains in the manufacturing industry. TO learn more: http://www.ibm.com/internet-of-things/iot-solutions/connected-manufacturing/
This document discusses how smart manufacturing and artificial intelligence of things (AIoT) can help drive digital transformation. It provides examples of how IoT solutions have helped various companies reduce costs and improve operations. It then discusses key concepts in smart manufacturing like the intelligent edge, cloud computing, and different waves of innovation with IoT, edge, and AI. The document outlines Microsoft's IoT portfolio and reference architecture for smart manufacturing. It also describes various Azure IoT capabilities and solutions like IoT Hub, IoT Edge, Time Series Insights, and preconfigured solutions for predictive maintenance, remote monitoring and connected factories. Finally, it discusses how machine learning can address supply chain optimization, predictive maintenance, anomaly detection, production scheduling and demand
When a manufacturer implements smart manufacturing, the goal is often to streamline production. But smart manufacturing uses an array of different tools and processes to get the job done. To help you understand how it works, here are 5 smart manufacturing terms to know.
MT84 IoT and Smart Manufacturing InnovationsDell EMC World
The Internet of Things (IoT) is a critical element of smart manufacturing as manufacturing equipment and products are being connected to the internet, giving manufacturers the ability to gather and use new data to predict equipment failure, increase product quality and transform operations. IT organizations are increasingly involved with the management, security and governance of this data. Using real-world customer examples, this session will provide a practical framework for evaluating a path forward regarding sensor enablement, transaction processes and analytics.
The document discusses smart factories, which use cyber-physical systems to merge the virtual and physical worlds. This allows manufacturing companies to benefit from increased production and reduced costs and errors through the use of information and communication technology. A smart factory implementation at a Caterpillar plant is presented as a case study, where real-time location tracking systems were used to ensure hydraulic valves and hoses were properly assembled by monitoring the correct torque applied during tightening. The conclusion states that smart industries can eliminate many human errors and make processes more efficient to gain a competitive advantage.
SkillsFuture Festival at NUS 2019- Industry 4.0 – The Brownfield ApproachNUS-ISS
Presented by Dr Prabhu Vinayak Ashok, Assistant Director, Digital Engineering, School of Engineering, Nanyang Polytechnic, at SkillsFuture Festival at NUS 2019
In 2012, The Economist claimed we were entering the third industrial revolution based on the digitization of manufacturing, also referred to as the “smart factory.” The development and adoption of the Internet of Things is a critical element of smart manufacturing as reduced sensor device cost, and increased connectivity and in-memory processing give manufacturers the ability to gather and use data to increase product quality and transform operations. IT organizations are increasingly involved with the management, security and governance of this data as equipment and products are connected to the internet. This session will provide a practical framework for evaluating ways to improve sensor enablement, transaction processes and analytics based on real-world customer examples.
A presentation I gave at the New Mexico Experience IT Conference on IoT and Smart Manufacturing. Includes some very brief details at the end about Cogswell.io (http://www.cogswell.io), our IoT Service Platform which includes Complex Event Processing (CEP) and Pub/Sub solutions. Some slides are unfortunately missing a few references.
Industry 4.0 has widespread application across Industries (Manufacturing, Logistics, Mobility etc.). In case of manufacturing and processing industries Industry 4.0 means Smart Manufacturing using IIoT (Industrial Internet of Things or simply Industrial IoT) in a connected smart factory.
It enables an Organization to make smart data-driven decisions based on Big Data, Artificial Intelligence and Machine Learning. Industry 4.0 IIoT has several benefits such as Resource Optimization, Cost Reduction, Automation, Predictive Maintenance and Prescriptive Analytics and Control etc.
Smart manufacturing 4.0 journey and strategy colin koh lkh precicon 23 sept 2021Colin Koh (許国仁)
This document discusses strategies for digital transformation and smart manufacturing 4.0. It introduces concepts like the VUCA world and the four industrial revolutions leading to increased automation. It presents frameworks for assessing maturity and ecosystems in smart manufacturing. Finally, it outlines a roadmap for planning digital transformation with an initial focus on the current state, then increasing speed, scale and managing change over time.
Smart Manufacturing and Industry 4.0 - Tibco PoVNicola Sandoli
The document discusses Industry 4.0 and smart manufacturing, outlining 4 design principles: interoperability, information transparency, technical assistance, and decentralized decisions. It then provides examples of how Tibco software solutions like Spotfire and Streambase can be used to integrate data from machines and sensors, perform real-time analytics on streaming data, and close the loop with automated actions.
IOT IN MANUFACTURING , ndustrial Internet of Things (IIoT) is going full throttle – increasing connectivity, generating data, and unlocking potential like never before. Now it’s time to capitalize on the full power of this data. Altair knows how to take full advantage of data to fuel innovation, drive new opportunities, and accelerate your smart manufacturing transformation.
Industrial Internet of Things (IIoT) for Automotive Paint Shop OperationsRam Shetty
This document discusses the Industrial Internet of Things (IIoT) and its applications in paint shop operations. It provides perspectives from industry analysts, technology providers, and manufacturers on how IIoT can connect information silos and extract business value. The author defines IIoT as integrating processes, industrial automation, and IT systems to continuously improve operator skills across the value chain. Examples of IIoT in paint shops include prognostics/diagnostics for painting robots and energy/environmental management. The discussion focuses on how IIoT can empower workers and amplify human capabilities rather than deskilling labor.
This document discusses Industry 4.0, which refers to the current trend of increased automation and data exchange in manufacturing technologies using cyber-physical systems, the internet of things, cloud computing, and cognitive computing. It is considered the fourth industrial revolution. The document provides an overview of the four industrial revolutions from the introduction of steam power in Industry 1.0 to the increased automation using sensors and machine learning in Industry 4.0 today. It also discusses key aspects of Industry 4.0 like cyber-physical systems, the internet of things, benefits and examples of IIoT (industrial internet of things) systems.
As presented during the Internet of Things West Conference held in Las Vegas, November 5-6, 2015. The Internet of Things is going to enable data flow that you never thought was possible – from plant to plug!
"Designing Better Machines: Evolution of a cognitive Digital Twin"
Industry 4.0 Meets Industrial Internet of Things Forum at Hannover Messe 2018 with IBM Watson IoT CTO Sky Matthews @blueskyflash @IBMIoT #HM18 #IBM #WatsonIoT
MongoDB IoT City Tour LONDON: Industrial Internet, Industry 4.0, Smart Factor...MongoDB
The document discusses Industry 4.0 and the Industrial Internet. It describes how connecting physical devices and sensors to collect and analyze data (i.e. the Internet of Things) enables new applications and business models. The Bosch Software Innovations Suite is presented as a platform for developing IoT solutions, with capabilities for device management, business rules management, and process management. Examples of IoT applications are provided for asset tracking, supply chain monitoring, and remote patient monitoring.
The document discusses the history and use of robots in manufacturing. It defines a robot and traces the origins of modern industrial robots back to the late 1950s. Today, over 90% of robots are used in factories, especially by automakers, to perform tasks that are difficult, unsafe, or repetitive for humans. Robots have advantages like working continuously without rest, but still have limitations in creativity, independent thinking, and quick adaptation. The robotics industry has grown significantly since the 1980s slump.
BSM Software Corp provides supply chain management and manufacturing software solutions. It offers Asset Management, Warehouse Management, Manufacturing Management, Transportation Management, and Supply Chain Management software. Some key features of its solutions include inventory management, barcode labeling, warehouse simulation modeling, real-time visibility of assets and inventory, and integration with ERP systems. It has numerous manufacturers and logistics companies as customers in Vietnam.
A look at how cognitive computing is driving new productivity and gains in the manufacturing industry. TO learn more: http://www.ibm.com/internet-of-things/iot-solutions/connected-manufacturing/
This document discusses how smart manufacturing and artificial intelligence of things (AIoT) can help drive digital transformation. It provides examples of how IoT solutions have helped various companies reduce costs and improve operations. It then discusses key concepts in smart manufacturing like the intelligent edge, cloud computing, and different waves of innovation with IoT, edge, and AI. The document outlines Microsoft's IoT portfolio and reference architecture for smart manufacturing. It also describes various Azure IoT capabilities and solutions like IoT Hub, IoT Edge, Time Series Insights, and preconfigured solutions for predictive maintenance, remote monitoring and connected factories. Finally, it discusses how machine learning can address supply chain optimization, predictive maintenance, anomaly detection, production scheduling and demand
When a manufacturer implements smart manufacturing, the goal is often to streamline production. But smart manufacturing uses an array of different tools and processes to get the job done. To help you understand how it works, here are 5 smart manufacturing terms to know.
MT84 IoT and Smart Manufacturing InnovationsDell EMC World
The Internet of Things (IoT) is a critical element of smart manufacturing as manufacturing equipment and products are being connected to the internet, giving manufacturers the ability to gather and use new data to predict equipment failure, increase product quality and transform operations. IT organizations are increasingly involved with the management, security and governance of this data. Using real-world customer examples, this session will provide a practical framework for evaluating a path forward regarding sensor enablement, transaction processes and analytics.
The document discusses smart factories, which use cyber-physical systems to merge the virtual and physical worlds. This allows manufacturing companies to benefit from increased production and reduced costs and errors through the use of information and communication technology. A smart factory implementation at a Caterpillar plant is presented as a case study, where real-time location tracking systems were used to ensure hydraulic valves and hoses were properly assembled by monitoring the correct torque applied during tightening. The conclusion states that smart industries can eliminate many human errors and make processes more efficient to gain a competitive advantage.
SkillsFuture Festival at NUS 2019- Industry 4.0 – The Brownfield ApproachNUS-ISS
Presented by Dr Prabhu Vinayak Ashok, Assistant Director, Digital Engineering, School of Engineering, Nanyang Polytechnic, at SkillsFuture Festival at NUS 2019
In 2012, The Economist claimed we were entering the third industrial revolution based on the digitization of manufacturing, also referred to as the “smart factory.” The development and adoption of the Internet of Things is a critical element of smart manufacturing as reduced sensor device cost, and increased connectivity and in-memory processing give manufacturers the ability to gather and use data to increase product quality and transform operations. IT organizations are increasingly involved with the management, security and governance of this data as equipment and products are connected to the internet. This session will provide a practical framework for evaluating ways to improve sensor enablement, transaction processes and analytics based on real-world customer examples.
A presentation I gave at the New Mexico Experience IT Conference on IoT and Smart Manufacturing. Includes some very brief details at the end about Cogswell.io (http://www.cogswell.io), our IoT Service Platform which includes Complex Event Processing (CEP) and Pub/Sub solutions. Some slides are unfortunately missing a few references.
Industry 4.0 has widespread application across Industries (Manufacturing, Logistics, Mobility etc.). In case of manufacturing and processing industries Industry 4.0 means Smart Manufacturing using IIoT (Industrial Internet of Things or simply Industrial IoT) in a connected smart factory.
It enables an Organization to make smart data-driven decisions based on Big Data, Artificial Intelligence and Machine Learning. Industry 4.0 IIoT has several benefits such as Resource Optimization, Cost Reduction, Automation, Predictive Maintenance and Prescriptive Analytics and Control etc.
Smart manufacturing 4.0 journey and strategy colin koh lkh precicon 23 sept 2021Colin Koh (許国仁)
This document discusses strategies for digital transformation and smart manufacturing 4.0. It introduces concepts like the VUCA world and the four industrial revolutions leading to increased automation. It presents frameworks for assessing maturity and ecosystems in smart manufacturing. Finally, it outlines a roadmap for planning digital transformation with an initial focus on the current state, then increasing speed, scale and managing change over time.
Smart Manufacturing and Industry 4.0 - Tibco PoVNicola Sandoli
The document discusses Industry 4.0 and smart manufacturing, outlining 4 design principles: interoperability, information transparency, technical assistance, and decentralized decisions. It then provides examples of how Tibco software solutions like Spotfire and Streambase can be used to integrate data from machines and sensors, perform real-time analytics on streaming data, and close the loop with automated actions.
IOT IN MANUFACTURING , ndustrial Internet of Things (IIoT) is going full throttle – increasing connectivity, generating data, and unlocking potential like never before. Now it’s time to capitalize on the full power of this data. Altair knows how to take full advantage of data to fuel innovation, drive new opportunities, and accelerate your smart manufacturing transformation.
Industrial Internet of Things (IIoT) for Automotive Paint Shop OperationsRam Shetty
This document discusses the Industrial Internet of Things (IIoT) and its applications in paint shop operations. It provides perspectives from industry analysts, technology providers, and manufacturers on how IIoT can connect information silos and extract business value. The author defines IIoT as integrating processes, industrial automation, and IT systems to continuously improve operator skills across the value chain. Examples of IIoT in paint shops include prognostics/diagnostics for painting robots and energy/environmental management. The discussion focuses on how IIoT can empower workers and amplify human capabilities rather than deskilling labor.
This document discusses Industry 4.0, which refers to the current trend of increased automation and data exchange in manufacturing technologies using cyber-physical systems, the internet of things, cloud computing, and cognitive computing. It is considered the fourth industrial revolution. The document provides an overview of the four industrial revolutions from the introduction of steam power in Industry 1.0 to the increased automation using sensors and machine learning in Industry 4.0 today. It also discusses key aspects of Industry 4.0 like cyber-physical systems, the internet of things, benefits and examples of IIoT (industrial internet of things) systems.
As presented during the Internet of Things West Conference held in Las Vegas, November 5-6, 2015. The Internet of Things is going to enable data flow that you never thought was possible – from plant to plug!
"Designing Better Machines: Evolution of a cognitive Digital Twin"
Industry 4.0 Meets Industrial Internet of Things Forum at Hannover Messe 2018 with IBM Watson IoT CTO Sky Matthews @blueskyflash @IBMIoT #HM18 #IBM #WatsonIoT
MongoDB IoT City Tour LONDON: Industrial Internet, Industry 4.0, Smart Factor...MongoDB
The document discusses Industry 4.0 and the Industrial Internet. It describes how connecting physical devices and sensors to collect and analyze data (i.e. the Internet of Things) enables new applications and business models. The Bosch Software Innovations Suite is presented as a platform for developing IoT solutions, with capabilities for device management, business rules management, and process management. Examples of IoT applications are provided for asset tracking, supply chain monitoring, and remote patient monitoring.
The document discusses the history and use of robots in manufacturing. It defines a robot and traces the origins of modern industrial robots back to the late 1950s. Today, over 90% of robots are used in factories, especially by automakers, to perform tasks that are difficult, unsafe, or repetitive for humans. Robots have advantages like working continuously without rest, but still have limitations in creativity, independent thinking, and quick adaptation. The robotics industry has grown significantly since the 1980s slump.
BSM Software Corp provides supply chain management and manufacturing software solutions. It offers Asset Management, Warehouse Management, Manufacturing Management, Transportation Management, and Supply Chain Management software. Some key features of its solutions include inventory management, barcode labeling, warehouse simulation modeling, real-time visibility of assets and inventory, and integration with ERP systems. It has numerous manufacturers and logistics companies as customers in Vietnam.
Internet of Things Cologne 2015: The Contribution of New Data Storage and Ana...MongoDB
The document summarizes a presentation on how new data storage and analytics strategies can contribute to smart manufacturing and economic growth. It discusses how industrial data constitutes big data and new approaches are needed to handle the velocity, volume, and variety of this data. Predictive analytics and text analytics on structured and unstructured data from IoT sensors and devices can provide insights. Case studies show benefits from asset monitoring, production optimization, and quality improvements. The presentation argues manufacturers should target radical efficiency gains through innovation and establish goals and roadmaps to realize benefits.
InfiniCortex and the Renaissance in Polish Supercomputing inside-BigData.com
In this deck from the DDN User Group at SC16, Marek Michalewicz, Deputy Director, ICM, University of Warsaw, presents: From Singapore to Warsaw: Infinicortex and the Renaissance in Polish Supercomputing.
"Over the past two years, InfiniCortex has clearly demonstrated that IB can perform over trans-continental distances, exploiting this technology to create a “Galaxy of Supercomputers” (a term coined by Marek Michalewicz and Yuefan Deng whose research focus is on mathematically optimal network topologies for supercomputers), a worldwide IB network spanning sites across Asia, Europe and North America. Initiated and led by A*STAR CRC (Agency for Science, Technology and Research - Computational Resource Centre in Singapore), the project hit its first major breakthrough at SuperComputing14 (SC14), showcasing a first-time-ever 100G IB transcontinental connection from Singapore to the SC14 venue in New Orleans (USA). This was made possible primarily thanks to the support of TATA Telecommunications, which provided the 100G trans-pacific link from Singapore to the US, and Obisidian Strategics, the Canadian manufacturer of the IB long-range equipment, that made available a number of units to be deployed in the participating sites."
Watch the video presentation: http://wp.me/p3RLHQ-g5g
Sign up for our insideHPC Newsletter: http://insidehpc.com/newsletter
Kawasaki Robotics and InduSoft Web Studio: Kawasaki PresentationAVEVA
Join us for this webinar where we will speak with Kawasaki Robotics to understand more about how their robots can be implemented in plant automation. We will also see a demonstration of how InduSoft Web Studio connects to Kawasaki robots through a native communication driver.
relayr is an IoT company that provides a protocol agnostic cloud middleware platform, open source development tools, and IoT solutions experts to enable manufacturers of all sizes to develop their own IoT solutions from ideation to rollout within one business quarter. Their goal is to help drive the digital transformation of industries through smart manufacturing.
Helping companies accelerate their transformation into Smart Manufacturing where unprecedented manufacturing business intelligence, operational efficiency and real-time plant control can be achieved. Monitor KPIs in real-time, anywhere, on any device. Improve performance by predicting equipment failure. Transform raw plant data into manageable information.
We discuss engineering and scientific computing in the Cloud. Users today have three major choices of computing: workstations, servers, and cloud. We compare benefits and challenges of each, and present a solution: the online UberCloud community, experiment, and marketplace for engineers and scientists to discover, try, and buy compute power on demand, in the cloud. Our approach of application containerization and tight software/hardware integration removes many of the known cloud roadblocks.
From Mass Production to Mass Customization: The Case of the National Industri...Talha Bin Irfan Usmani
NBIC is Japan's second largest bicycle manufacturer located in Osaka. It operates both mass production and mass customization factories to produce bicycles under three brands: Panasonic, National, and Hikari. The mass customization factory employs skilled workers and offers over 8 million customization options. It was established after NBIC's president visited a department store that offered custom dress orders. The mass customization approach helped improve mass production processes and increased innovation.
Industry Revolution 4.0 by Creator MakerspaceSjur Usken
An overview of the Industrial Revolution and how maker space fits into exploring the new business opportunities arising. Robots, 3D printing, Internet of Things, artificial intelligens and cloud computing accelerating each other into new industries.
The document outlines 6 new strategies for Taiwan to address challenges of a shrinking workforce and competitive pressures: 1) enhancing flagship industries' smart supply chains, 2) encouraging startups, 3) localizing production, 4) achieving autonomy in key technologies, 5) cultivating technical talents, and 6) injecting industrial policy tools. It discusses using smart automation technologies like robots, IoT, big data, and cyber-physical systems to achieve goals like man-machine coordination, extended machine uptime, flexible scheduling, shortened lead times, and zero inventory.
Kawasaki Robotics and InduSoft Web Studio: InduSoft PresentationAVEVA
Join us for this webinar where we will speak with Kawasaki Robotics to understand more about how their robots can be implemented in plant automation. We will also see a demonstration of how InduSoft Web Studio connects to Kawasaki robots through a native communication driver.
1) The document discusses the ICT requirements for smart factories, which use cyber-physical systems and the internet of things to increase flexibility and efficiency in production.
2) It outlines the opportunities of smart factories like shorter product development and increased competitiveness, but also challenges like ensuring security, scalability, and dealing with large amounts of diverse real-time data.
3) The document examines the different levels of an ICT infrastructure for smart factories including software, middleware, hardware, sensors, networks, and systems for data collection, storage, analysis and control that link enterprise, control and device levels.
I apologize for any confusion, but I am an AI assistant created by Anthropic to be helpful, harmless, and honest. I do not have the ability to provide helicopter pilot programs.
This document summarizes 5 big trends in manufacturing and industry for 2015 and beyond: 1) Servitization and product service systems, 2) Mass personalization, 3) Automation and next generation machines, 4) Industrial Internet of Things, and 5) Industrial sustainability. It also briefly discusses collaboration and networks. For each trend, the document outlines examples and research being conducted in universities and industry to explore how these trends are impacting manufacturing.
The presentation summarizes key trends in robotics including industrial robots, collaborative robots (co-bots), and service robots. It discusses how industrial robots are growing rapidly, especially in China, driven by declining costs and increasing labor costs. A new generation of co-bots is being developed that can work safely alongside humans to increase flexibility and productivity. The co-bot market is forecast to grow significantly in coming years.
Mobile World Congress is the world’s greatest mobile event where the industry gathers to experience new ideas and discuss future opportunities.
In our hall in Barcelona, customers and visitors had the opportunity to learn how we enable change and change-makers in the Networked Society, and how our latest technologies and services unlock new business opportunities.
This presentation gives you a taste from what we saw and heard during Mobile World Congress 2015, which was held in Barcelona, March 2-5.
Apresentação sobre a inauguração do Laboratório de Internet das Coisas da Sociedade Conectada, fruto da cooperação entre o Ministério das Comunicações e a Ericsson.
A cerimônia contou com a presença do Ministro das Comunicações, André Figueiredo.
A implementação desse laboratório será no Centro de Inovação da Ericsson, em Indaiatuba, e tem por objetivo fomentar testes de novas soluções de IoT.
LACE Project WP5 - Learning Analytics & Performance Support for Manufacturing...Fabrizio Cardinali
This document discusses the Learning Analytics Community Exchange (LACE) project's Work Package 5 (WP5), which focuses on applying learning analytics in the workplace, specifically for smart manufacturing training and performance support. WP5 aims to study how to improve manufacturing training through more embedded, continuous, and contextualized workflow-based performance support. It also explores moving from detached online learning to integrated, just-in-time learning solutions. The presentation outlines WP5's objectives, planned events and workshops, engagement with standards communities, and research papers.
CONFERENCIA: El impacto de la Tecnología en la optimización de la cadena de s...Ignasi Sayol
CONFERENCIA: El impacto de la Tecnología en la optimización
de la cadena de suministro: aplicaciones de gestión, estrategia elogistics y macro tendencias tecnológicas. Logística 4.0
Cyber Physical Production Systems (CPPS) represent the Key Enabling Technology at the basis of the fourth Industrial Revolution of Industry 4.0.
BEinCPPS I4MS Phase II project aims at spreading the presence of CPPS-based industrial experiments to all the Regions of Europe, starting from 5 champion experiments located in advanced Vanguard EU regions. BEinCPPS provides a CPS/IOT Open Platform on top of which application developers could base innovative services e.g. in the field of production planning, resources management, logistics optimisation.
BEinCPPS Open Call 1 targets the development, testing and experimentation of innovative IT applications experiments, which, based on CPPS technology, could significantly enhance the impact of CPPS into the Manufacturing Industry and SMEs / Mid Caps in particular. Open APIs and datasets coming from the project's 5 experimental facilities will form an IT infrastructure for a realistic testing and experimentation of the new applications. A second wave of Open Calls will afterwards replicate the first wave best practices to additional regions in EU, facilitated by the presence of Regional Digital Manufacturing Innovation Hubs.
The article provides a summary of recent automotive news from around the world, including:
- GM investing $200 million in two Michigan plants.
- BMW piloting Google's "smart" eyewear at its Spartanburg plant.
- Nissan partnering with Tennessee on manufacturing training.
- Chrysler plant in Indiana achieving bronze status in World Class Manufacturing.
- Volvo plant in Virginia implementing carbon-neutral electricity.
The summary then provides more details on selected stories from North America/Mexico, Europe, and China/Japan. These include Toyota consolidating diesel engine production in Japan and Mazda announcing a new "bio-based" engineering plastic.
TITLE: REVIEW PAPER ON AUTOMATION INDUSTRY, INDUSTRY 4.0IRJET Journal
This document reviews automation in the automotive industry, with a focus on Industry 4.0 technologies. It discusses how each industrial revolution introduced new technologies that advanced manufacturing. Industry 4.0 technologies like improved robots, 3D printing, the internet of things, and automated production are now being implemented in automotive manufacturing. The document presents results from a study of automotive manufacturers in Slovakia and the Czech Republic that examined their use of Industry 4.0 technologies and found that sensors, programmable devices, and industrial robots were commonly used. Larger companies were also found to use more advanced automation than smaller companies.
The document discusses a presentation in Taipei on predictive maintenance and smart IoT applications using AWS. It provides an overview of digital transformation and Industry 4.0 in manufacturing. It then summarizes Softchef's IoT cloud management platform and how it can help companies accelerate IoT solution development. Finally, it introduces Taikkiso as a supplier of rotating equipment and discusses how IoT and data analytics can help address industrial clients' needs.
This document discusses the progression from Industry 1.0 to the emerging Industry 4.0. It summarizes that Industry 4.0 will utilize cyber-physical systems, vertical and horizontal integration, the Internet of Things, autonomous robots, big data and analytics, cloud computing, and augmented reality. It provides examples of early Industry 4.0 implementations in Germany, China, the US, and Finland. The document also discusses opportunities and challenges for Turkey regarding Industry 4.0 and looks beyond to concepts like open innovation, additive manufacturing, and disruptive innovation enabled by emerging technologies.
The document provides an overview of recent news and developments in the construction industry. It includes articles about Lord Adonis urging the industry to improve productivity and ditch its "short-term" culture. It also discusses contractors working more closely with construction equipment manufacturers to boost efficiency through new technologies. Additionally, it warns that construction companies should expect more site raids from the Home Office as it cracks down on illegal workers in the industry.
Hyperoptic is the largest fiber-to-the-building internet service provider in the UK, serving over 2,000 developments across 20 major cities. It is the largest provider of 1Gb broadband and has seen internet traffic growth of 6 times over the past 18 months. The presentation discusses Hyperoptic's role in building out gigabit broadband infrastructure in the UK and its plans to integrate vertically, promote ubiquitous high-speed connectivity, and establish gigabit broadband as the new standard.
Dinamikler 2017 - Ali Rıza Ersoy Sunumdinamikler17
This document discusses the progression from previous industrial revolutions to Industry 4.0 and the digital enterprise. It outlines key technologies of Industry 4.0 like cyber-physical systems, the internet of things, cloud computing, big data analytics, simulation, autonomous robots, and augmented reality. Examples of Industry 4.0 implementations in Germany, China, the USA, and Finland are provided. The document also discusses opportunities and challenges for Turkey's progression to Industry 4.0, and looks beyond to potential future developments like open innovation, additive manufacturing, and disruptive innovation.
The document discusses convincing clients to adopt building information modeling (BIM). It begins by distinguishing between client benefits versus supply chain benefits, and direct benefits versus indirect benefits. Key direct client benefits discussed include reduced costs from fewer design meetings and clash detection, risk reduction, improved communication and visualization, reduced maintenance and defects. The document emphasizes that clients and the supply chain both benefit from BIM, but through different outcomes. It presents data showing the potential for 20% capital cost savings through increased BIM maturity over time. Various sectors like airports and healthcare are identified as having a strong case for BIM adoption today due to their characteristics aligning with those of early BIM adopters.
2015 12-01 digital transformation in industrial automation sanitizedThorsten Schroeer
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Industry 4.0 Implementation, Challenges And Opportunities Of Industry 4.0 : C...Deepak Dudhate
The document discusses Industry 4.0 and its implementation challenges and opportunities in the automotive and chemical industries based on case studies. It provides an overview of Industry 4.0 technologies like the internet of things, cloud computing, big data analytics, simulation, augmented reality, cybersecurity and additive manufacturing. The document also summarizes case studies on Volkswagen AutoEuropa and automotive cybersecurity challenges. It finds that Industry 4.0 can improve efficiency but also poses cybersecurity risks that require solutions. The chemical and automotive sectors are seen to have growth opportunities through technological advances, though skilled labor is needed for implementation.
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